Oracle 1Z0-1110-25 Online Practice Questions and Exam Preparation

Oracle 1Z0-1110-25 Online Questions & Answers

• Question 1:

  You have built a machine model to predict whether a bank customer is going to default on a loan. You want to use Local Interpretable Model-Agnostic Explanations (LIME) to understand a specific prediction. What is the key idea behind LIME?

  A. Global behaviour of a machine learning model may be complex, while the local behaviour may be approximated with a simpler surrogate model
  B. Model-agnostic techniques are more interpretable than techniques that are dependent on the types of models
  C. Global and local behaviours of machine learning models are similar
  D. Local explanation techniques are model-agnostic, while global explanation techniques are not
  A. Global behaviour of a machine learning model may be complex, while the local behaviour may be approximated with a simpler surrogate model

• Question 2:

  You have received machine learning model training code, without clear information about the optimal shape to run the training. How would you proceed to identify the optimal compute shape for your model training that provides a balanced cost and processing time?

  A. Start with a smaller shape and monitor the Job Run metrics and time required to complete the model training. If the compute shape is not fully utilized, tune the model parameters, and rerun the job. Repeat the process until the shape resources are fully utilized
  B. Start with the strongest compute shape Jobs support and monitor the Job Run metrics and time required to complete the model training. Tune the model so that it utilizes as much compute resources as possible, even at an increased cost
  C. Start with a smaller shape and monitor the utilization metrics and time required to complete the model training. If the compute shape is fully utilized, change to compute that has more resources and rerun the job. Repeat the process until the processing time does not improve
  D. Start with a random compute shape and monitor the utilization metrics and time required to finish the model training. Perform model training optimizations and performance tests in advance to identify the right compute shape before running the model training as a job
  C. Start with a smaller shape and monitor the utilization metrics and time required to complete the model training. If the compute shape is fully utilized, change to compute that has more resources and rerun the job. Repeat the process until the processing time does not improve

• Question 3:

  Which Oracle Cloud Infrastructure (OCI) Data Science policy is invalid?

  A. Allow group DataScienceGroup to use virtual-network-family in compartment DataScience
  B. Allow group DataScienceGroup to use data-science-model-sessions in compartment DataScience
  C. Allow dynamic-group DataScienceDynamicGroup to manage data-science-projects in compartment DataScience
  D. Allow dynamic-group DataScienceDynamicGroup to manage data-science-family in compartment DataScience
  B. Allow group DataScienceGroup to use data-science-model-sessions in compartment DataScience

• Question 4:

  What is the minimum active storage duration for logs used by Logging Analytics to be archived?

  A. 60 days
  B. 10 days
  C. 30 days
  D. 15 days
  C. 30 days

• Question 5:

  You realize that your model deployment is about to reach its utilization limit. What would you do to avoid the issue before requests start to fail? Pick THREE.

  A. Update the deployment to add more instances
  B. Delete the deployment
  C. Update the deployment to use fewer instances
  D. Update the deployment to use a larger virtual machine (more CPUs/memory)
  E. Reduce the load balancer bandwidth limit so that fewer requests come in
  A. Update the deployment to add more instances
  D. Update the deployment to use a larger virtual machine (more CPUs/memory)
  E. Reduce the load balancer bandwidth limit so that fewer requests come in

• Question 6:

  You are a data scientist; you use the Oracle Cloud Infrastructure (OCI) Language service to train custom models. Which types of custom models can be trained?

  A. Image classification, Named Entity Recognition (NER)
  B. Text classification, Named Entity Recognition (NER)
  C. Sentiment Analysis, Named Entity Recognition (NER)
  D. Object detection, Text classification
  B. Text classification, Named Entity Recognition (NER)

• Question 7:

  You have just completed analyzing a set of images by using Oracle Cloud Infrastructure (OCI) Data Labeling, and you want to export the annotated data. Which TWO formats are supported?

  A. CONLL V2003
  B. COCO
  C. Data Labeling Service Proprietary JSON
  D. Spacy
  B. COCO
  C. Data Labeling Service Proprietary JSON

• Question 8:

  Which Oracle Accelerated Data Science (ADS) classes can be used for easy access to datasets from reference libraries and index websites such as scikit-learn?

  A. DataLabeling
  B. DatasetBrowser
  C. SecretKeeper
  D. DatasetFactory
  D. DatasetFactory

• Question 9:

  On which option do you set Oracle Cloud Infrastructure Budget?

  A. Compartments
  B. Instances
  C. Free-form tags
  D. Tenancy
  D. Tenancy

• Question 10:

  Which is NOT a compliance document?

  A. Certificate
  B. Penetration test report
  C. Attestation
  D. Bridge letter
  B. Penetration test report